Czasopismo | ELEKTRONIKA - KONSTRUKCJE, TECHNOLOGIE, ZASTOSOWANIA | Rocznik 2016 - zeszyt 4

Embedded mobile systems to assist road users in urban environments

10.15199/13.2016.4.2

nr katalogowy: 97823
10.15199/13.2016.4.2

W artykule przedstawiono trzy aplikacje do urządzeń mobilnych przeznaczone dla pieszych, rowerzystów, motocyklistów i kierowców samochodów, a więc dla różnych użytkowników dróg, w celu pomocy im w usprawnieniu sterowania ruchem i w konsekwencji w celu zwiększenia bezpieczeństwa na drogach. Opracowane oprogramowanie przetwarza w czasie rzeczywistym sygnał wideo kamery wbudowanej w smartfon. Pierwsza aplikacja służy do wykrywania zmian świateł sygnalizacji ulicznej, druga - do wykrywania nadjeżdżających pojazdów i ostrzegania o tym pieszych. Trzecia służy zaś do wykrywania kierunkowskazów pojazdów na sąsiednich pasach ruchu. Wyniki przeprowadzonych eksperymentów wskazują na wysoką skuteczność zaproponowanych rozwiązań. Słowa kluczowe: system wspomagający kierowców i pieszych, urządzenie mobilne, smartfon, przetwarzanie wideo, system wbudowany.Many areas of today’s world are urban areas. Only in the European Union (EU) more than 350 millions of people live in agglomerations larger than 5 thousands of inhabitants [1]. A high density of inhabitants means also a high density of traffic (which is basically understood as a phenomenon of using roads for travelling and carrying goods). It generates many problems related to safety and efficiency of the transport. For example, in Warsaw typical mean travel time is ca. 40% longer than it could be with uncongested traffic [2]. Moreover, heavy traffic increases air pollution (due to increased fuel consumption and problem of smog), increases noise, means waste of time, and frustrates people [3]. High traffic density involves communication accidents. Among them we count collisions and pedestrian hitting. In 2013 there were approximately 26 thousands road fatalities in the EU (more than 3 thousands in Poland). It means that every year a population comparable to that of a small city dies. For every death there are about 4 permanently disabling injuries, 8 serious injuries, and 50 minor in[...]

Bibliografia

[1] Official website of the European Commission, Miasta przyszłości - wyzwania, wizje, perspektywy, http://ec.europa.eu/regional_ policy/sources/docgener/studies/pdf/citiesoftomorrow/citiesoftomorrow_ final_pl.pdf, 2011, access: 04.03.2016.
[2] Statista, the statistics portal, The ten most traffic jam prone cities in Europe, http://www.statista.com/statistics/235780/most-trafficjam- prone-cities-in-europe/, access: 04.03.2016.
[3] European Commision, Roadmap to a Single Transport Area - Towards competitive and resource efficient transport system, Brussels, 28.03.2011.
[4] Official website of the Eur. Commission, Statistics - accidents data, http://ec.europa.eu/transport/road_safety/specialist/statistics/ index_en.htm, access: 04.03.2016.
[5] Official website of the European Commission, EU ratifies UN Convention on disability rights, Brussels, 05.01.2011, http://europa. eu/rapid/press-release_IP-11-4_en.htm, access: 04.03.2016.
[6] Balcerek J. et al., Recognition of threats in urban areas by means of the analysis of video sequences, Proc. of Multimedia Communications, Services and Security, MCSS 2010, IEEE International Conference, Kraków, 6-7 May 2010, pp. 41-48.
[7] Balcerek J. et al., Prototype multimedia database system for registration of emergency situations, Proc. of Signal Processing - Algorithms, Architectures, Arrangements and Applications SPA’2009, IEEE International Conference, Poznań, Poland, 24- 26 September 2009, pp. 144-148.
[8] Balcerek J. et al., Database of emergency telephone calls - system tools for real-time registration and metadata searching, Proc. of Signal Processing - Algorithms, Architectures, Arrangements and Applications SPA’2010, IEEE International Conference, Poznań, Poland, 23-25 September 2010, pp. 89-94.
[9] Balcerek J. et al., Automatic detection of traffic lights changes from red to green and car turn signals in order to improve urban traffic, Proc. of Signal Processing - Algorithms, Architectures, Arrangements and Applications SPA’2014, IEEE International Conference, Poznań, Poland, 22-24 September 2014, pp. 110-115.
[10] Balcerek J. et al., Video processing approach for supporting pedestrians in vehicle detection, Proc. of Signal Processing - Algorithms, Architectures, Arrangements and Applications SPA’2014, IEEE International Conference, Poznań, Poland, 22-24 September 2014, pp. 100-103.
[11] Balcerek J. et al., Automatyczne systemy wizyjne usprawniające ruch drogowy i zwiększające bezpieczeństwo (Automatic vision systems for improvement of traffic efficiency and safety), Elektronika - konstrukcje, technologie, zastosowania, no 4/2015, pp. 7-13, DOI:10.15199/13.2015.4.1.
[12] Balcerek J. et al., Mobile applications for driver and pedestrian assistance, Proc. of Signal Processing - Algorithms, Architectures, Arrangements and Applications SPA’2015, IEEE International Conference, Poznań, Poland, 23-25 September 2015, pp. 197-202.
[13] Chou T.S. et al., CaNPAs: A Campus Navigation and Parking Assistant System, IEEE International Conference on Systems, Man and Cybernetics, SMC, 8-11 Oct. 2006, vol. 1, pp. 631-638. Elektronika 4/2016 13
[14] Smirnov A. et al., Mobile application for guiding tourist activities: tourist assistant - TAIS, 16th Conference of Open Innovations Association (FRUCT16), 27-31 Oct. 2014, pp. 95-100.
[15] Beomju S. et al., Indoor 3D pedestrian tracking algorithm based on PDR using smarthphone, 12th International Conference on Control, Automation and Systems (ICCAS), 17-21 Oct. 2012, pp. 1442-1445.
[16] Alzantot M., Youssef M., UPTIME: Ubiquitous pedestrian tracking using mobile phones, IEEE Wireless Communications and Networking Conference (WCNC), 1-4 April 2012, pp. 3204-3209.
[17] Arthur D., 13 of the best smartphone cycling apps for iPhone and Android, 24.07.2015, http://road.cc/content/buyersguide/ 158533-13-best-smartphone-cycling-apps-iphone-andandroid, access: 10.11.2015.
[18] Siahaan T., Top 10 Motorcycle Apps, 31.07.2014, http://www. motorcycle.com/top10/top-10-motorcycle-apps.html, access: 04.03.2016.
[19] Corcoba Magana V., Munoz-Organero M., Artemisa: An eco-driving assistant for Android OS, IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin), 6-8 Sept. 2011, pp. 211-215.
[20] Khanapuri A.V. et al., On road: A car assistant application, International Conference on Technologies for Sustainable Development (ICTSD), 4-6 Feb. 2015, pp. 1-7.
[21] Jiangpeng D. et al., Mobile phone based drunk driving detection, 4th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), 22-25 March 2010, pp. 1-8.
[22] Rozanowski K., Piotrowski Z., Ciolek M., Mobile Application for Driver’s Health Status Remote Monitoring, 9th International Wireless Communications and Mobile Computing Conference (IWCMC), 1-5 July 2013, pp. 1738-1743.
[23] Piniarski K., Pawłowski P., Dąbrowski A., Video Processing Algorithms for Detection of Pedestrians, Computational Methods in Science and Technology (CMST), vol. 21 (3) 2015, pp. 141-150.
[24] Negru M., Benea V., Nedevschi S., Fog assistance on smart mobile devices, IEEE International Conference on Intelligent Computer Communication and Processing (ICCP), 4-6 Sept. 2014, pp. 197-204.
[25] Acharya A., Lee J., Chen A., Real Time Car Detection and Tracking in Mobile Devices, International Conference on Connected Vehicles and Expo (ICCVE), 12-16 Dec. 2012, pp. 239-240.
[26] Itu R., Danescu R., An efficient obstacle awareness application for Android mobile devices, IEEE International Conference on Intelligent Computer Communication and Processing (ICCP), 4-6 Sept. 2014, pp. 157-163.
[27] Pritt C., Road sign detection on a smartphone for traffic safety, IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 14-16 Oct. 2014, pp. 1-6.
[28] Pawłowski P., Prószyński D., Dąbrowski A., Real-time procedures for automatic recognition of road signs, Elektronika - konstrukcje, technologie, zastosowania, miesięcznik n-t, Wyd. Sigma NOT, 3/2009, pp. 57-61.
[29] Munoz-Organero M., Magana V.C., Validating the Impact on Reducing Fuel Consumption by Using an EcoDriving Assistant Based on Traffic Sign Detection and Optimal Deceleration Patterns, IEEE Transactions on Intelligent Transportation Systems, 2013, Vol. 14, Issue 2, pp. 1023-1028.
[30] Johnson K., Late Merge...the Zipper System, http://www.dot. state.mn.us/trafficeng/workzone/doc/When-latemerge-zipper. pdf, Minnesota Department of Transportation, United States, Oct. 2008.

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